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首页> 美国卫生研究院文献>Journal of Ophthalmology >Multivariate Analysis of the Ocular Response Analyzers Corneal Deformation Response Curve for Early Keratoconus Detection
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Multivariate Analysis of the Ocular Response Analyzers Corneal Deformation Response Curve for Early Keratoconus Detection

机译：早期圆锥角膜检测的眼反应分析仪角膜变形反应曲线的多元分析

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Purpose. To thoroughly analyze corneal deformation responses curves obtained by Ocular Response Analyzer (ORA) testing in order to improve subclinical keratoconus detection. Methods. Observational case series of 87 control and 73 subclinical keratoconus eyes. Examination included corneal topography, tomography, and biomechanical testing with ORA. Factor analysis, logistic regression, and receiver operating characteristic curves were used to extract combinations of 45 corneal waveform descriptors. Main outcome measures were corneal-thickness-corrected corneal resistance factor (ccCRF), combinations of corneal descriptors, and their diagnostic performance. Results. Thirty-seven descriptors differed significantly in means between groups, and among them ccCRF afforded the highest individual diagnostic performance. Factor analysis identified first- and second-peak related descriptors as the most variable one. However, conventional biomechanical descriptors corneal resistance factor and hysteresis differed the most between control and keratoconic eyes. A combination of three factors including several corneal descriptors did not show better diagnostic performance than a combination of conventional indices. Conclusion. Multivariate analysis of ORA signals did not surpass simpler models in subclinical keratoconus detection, and there is considerable overlap between normal and ectatic eyes irrespective of the analysis model. Conventional biomechanical indices seem to already provide the best performance when appropriately considered.
机译：目的。要彻底分析通过眼响应分析仪（ORA）测试获得的角膜变形响应曲线，以改善亚临床圆锥角膜的检测。方法。观察病例系列87个对照和73个亚临床圆锥角膜眼睛。检查内容包括角膜地形图，断层扫描以及使用ORA进行的生物力学测试。使用因子分析，逻辑回归和接收器工作特征曲线来提取45个角膜波形描述符的组合。主要结局指标为角膜厚度校正的角膜抵抗因子（ccCRF），角膜描述符的组合及其诊断性能。结果。三十七个描述符的组间均值差异显着，其中ccCRF提供了最高的个人诊断性能。因子分析确定第一和第二峰值相关的描述符是变化最大的描述符。但是，传统的生物力学指标角膜抵抗因子和滞后性差异最大的是对照和圆锥角膜。包括多个角膜描述符在内的三个因素的组合没有显示出比常规指标更好的诊断性能。结论。在亚临床圆锥角膜检测中，ORA信号的多变量分析没有超越简单模型，并且无论分析模型如何，正常眼和直肠眼之间都有相当大的重叠。如果适当考虑，常规的生物力学指标似乎已经提供了最佳性能。

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